[dependencies.imbalanced-core]
version = "0.1.0"
[dependencies.imbalanced-sampling]
version = "0.1.0"
[dependencies.linfa]
version = "0.7"
[dependencies.linfa-trees]
version = "0.7"
[dependencies.ndarray]
features = ["rayon"]
version = "0.15"
[dependencies.num-traits]
version = "0.2"
[dependencies.rand]
features = ["small_rng"]
version = "0.8"
[dependencies.rayon]
version = "1.8"
[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0"
[dev-dependencies.approx]
version = "0.5"
[dev-dependencies.linfa-datasets]
version = "0.7"
[features]
default = []
serde = ["dep:serde", "imbalanced-core/serde", "imbalanced-sampling/serde", "ndarray/serde"]
[lib]
name = "imbalanced_ensemble"
path = "src/lib.rs"
[package]
authors = ["Tima Rocks! <tima@tima.rocks>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms"]
description = "Ensemble methods for imbalanced learning in Rust - Balanced Random Forest and more"
documentation = "https://docs.rs/imbalanced-ensemble"
edition = "2021"
exclude = ["target/", "benchmarks/"]
homepage = "https://github.com/timarocks/rust-imbalanced-learn"
keywords = ["machine-learning", "ensemble", "random-forest", "imbalanced", "bagging"]
license = "MIT OR Apache-2.0"
name = "imbalanced-ensemble"
readme = "README.md"
repository = "https://github.com/timarocks/rust-imbalanced-learn"
version = "0.1.0"